Teores de nitrogênio e de clorofilas em folhas de feijão e de soja inoculados com rizóbios.

Com o objetivo de avaliar os teores de nitrogênio total e de clorofila total em plantas de feijão e de soja conduziu-se um experimento em Goiânia-GO, utilizando delineamento inteiramente casualizado com três repetições

Caracterização diamétrica de um povoamento de Araucaria angustifolia (bertol.) Kuntze sob alta competição.

Resumo

Competition index: a tool to define thinning in stands of Araucaria angustifolia.

IUFROLAT 2013. Disponibilizado online. Resumen

Reconceptualizing Context: A Multilevel Model of the Context of Reception and Second-Generation Educational Attainment

This paper seeks to return scholarly attention to a core intellectual divide between segmented and conventional (or neo-)assimilation approaches, doing so through a theoretical and empirical reconsideration of contextual effects on second-generation outcomes. We evaluate multiple approaches to measuring receiving country contextual effects and measuring their impact on the educational attainment of the children of immigrants. We demonstrate that our proposed measures better predict second-generation educational attainment than prevailing approaches, enabling a multilevel modeling strategy that accounts for the structure of immigrant families nested within different receiving contexts

Organizational-Social-Capital, Time and International Family SMEs:An Empirical Study from the East of England

Previous studies on family-SME internationalization have largely focused on what resources are needed to drive an incremental process rather than how resource management occurs in historical time. This paper focuses on the latter, adopting a social capital perspective (capturing both internal, i.e. among family-SME board members, and external, cross border agent dyads, relations) in order to decipher case study data from the East of England. Findings show that it is not the presence or absence of organizational-social-capital that affects family-SME internationalization success but rather its variable use over the years driven by the future pursuit of longevity, not growth. Key within this context is the variable use of the international expertise and management capability of non-family managers in the family SME intra-organizational context. Ultimately this may lead to change and learning that occurs erratically, often including reversals, without causing family-SME progression across a sequence of incremental stages

Developing a Victorious Strategy to the Second Strong Gravitational Lensing Data Challenge

Strong Lensing is a powerful probe of the matter distribution in galaxies and clusters and a relevant tool for cosmography. Analyses of strong gravitational lenses with Deep Learning have become a popular approach due to these astronomical objects' rarity and image complexity. Next-generation surveys will provide more opportunities to derive science from these objects and an increasing data volume to be analyzed. However, finding strong lenses is challenging, as their number densities are orders of magnitude below those of galaxies. Therefore, specific Strong Lensing search algorithms are required to discover the highest number of systems possible with high purity and low false alarm rate. The need for better algorithms has prompted the development of an open community data science competition named Strong Gravitational Lensing Challenge (SGLC). This work presents the Deep Learning strategies and methodology used to design the highest-scoring algorithm in the II SGLC. We discuss the approach used for this dataset, the choice for a suitable architecture, particularly the use of a network with two branches to work with images in different resolutions, and its optimization. We also discuss the detectability limit, the lessons learned, and prospects for defining a tailor-made architecture in a survey in contrast to a general one. Finally, we release the models and discuss the best choice to easily adapt the model to a dataset representing a survey with a different instrument. This work helps to take a step towards efficient, adaptable and accurate analyses of strong lenses with deep learning frameworks.Comment: 14 pages, 12 figure

Classificação de touros Nelore em função de diferentes índices bioeconômicos de seleção.

O objetivo deste trabalho foi comparar a classificação de touros da raça Nelore em função de três índices bioeconômicos de seleção, além do índice de qualificação genética (IQG). Foi utilizado o banco histórico de avaliações genéticas concedido pela Embrapa Pantanal (2020), contendo 865 touros nascidos entre 1955 e 2014. Os três índices bioeconômicos de seleção utilizados consideraram características de produção, reprodução e de qualidade de carcaça. As ponderações para os critérios de seleção foram estimadas considerando o mesmo objetivo de seleção, porém para diferentes medidas de avaliação econômica utilizadas na pecuária, resultando em valores econômicos expressos com base nas avaliações: por animal (VACA), por Arroba (@) e por Unidade Animal (UA) (Portes et al., 2021). As correlações de Spearman foram altas entre os índices VACA e UA (1,0), IQG e @ (0,86), sugerindo ordenamento semelhante dos touros, e moderadas entre IQG e VACA (0,64) e UA (0,64) e entre @ e VACA (0,57) e UA (0,57), indicando reordenação dos touros. Apenas o índice arroba (@) resultará em ordem semelhante de classificação dos touros ao IQG que é o índice usualmente utilizado pelo programa de melhoramento de gado de corte - Embrapa Geneplus

Language and cultural capital in school experience of Polish children in Scotland

This article addresses the complex relationship between migration and education in the context of recent intra-European labour mobility. It considers how this mobility impacts the education and life chances of migrant students attending schools in Scotland, UK. By examining the experiences of Polish migrant children and youth at schools in Scotland, the article engages with the issues of language, cultural capital transferability and social positioning. Drawing on qualitative data from 65 in-depth interviews with school children aged 5–17 years, their parents and teachers, as well as observations in the contexts of school and home, the article points to a range of factors affecting the transition of migrant pupils to new schools and social environments

Building research capital to facilitate research

The National Institute for Health Research, Research Design Service (NIHR RDS) was set up to increase the number and proportion of high quality applications for funding for applied and patient focused health and social care research. Access to specialist expertise and collaboration between researchers and health practitioners at the proposal development stage is crucial for high quality applied health research. In this essay we develop the concept of 'research capital' to describe the wide range of resources and expertise required to develop fundable research projects. It highlights the key role the RDS plays supporting researchers to broker relationships to access the requisite 'research capital'. © 2013 Green and Rein; licensee BioMed Central Ltd